Triple
T6537039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Avenue East |
E168189
|
entity |
| Predicate | hasSpeedLimitCategory |
P72264
|
FINISHED |
| Object | urban arterial |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: urban arterial | Statement: [Lawrence Avenue East, hasSpeedLimitCategory, urban arterial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpeedLimitCategory Context triple: [Lawrence Avenue East, hasSpeedLimitCategory, urban arterial]
-
A.
hasSpeedLimit
Indicates that a specified maximum allowable speed is imposed on the associated entity or context.
-
B.
hasSpeedRestriction
Indicates that an entity is subject to a specified limit on its allowable speed.
-
C.
hasSectionWithSpeedLimit
Indicates that an entity includes a segment or portion where a specific speed limit is in effect.
-
D.
hasSpeedLimitRange
Indicates that there is a specified minimum and maximum speed limit applicable to a given context or segment.
-
E.
hasVariableSpeedLimits
Indicates that the subject is associated with speed limits that can change depending on conditions, time, or location.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ce07332481909a5a7964282eb776 |
completed | March 27, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69c6acf3e3708190b052ec774e607cb7 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6ce0538f48190abf3160681901c17 |
completed | March 27, 2026, 6:35 p.m. |
Created at: March 27, 2026, 1:49 p.m.